Instructions to use neta-art/Neta-Lumina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use neta-art/Neta-Lumina with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,6 +5,7 @@ license: other
|
|
| 5 |
license_name: fair-ai-public-license-1.0-sd
|
| 6 |
license_link: https://freedevproject.org/faipl-1.0-sd/
|
| 7 |
---
|
|
|
|
| 8 |
|
| 9 |

|
| 10 |
|
|
@@ -35,22 +36,22 @@ Request access at https://huggingface.co/neta-art/NetaLumina_Alpha if you are in
|
|
| 35 |
- First beta release candidate
|
| 36 |
- **Primary Goal**: Enhanced aesthetics, pose accuracy, and scene detail
|
| 37 |
- **Data Set**: Hundreds of thousands of handpicked high‑quality anime images (fine‑tuned on the Base)
|
|
|
|
| 38 |
|
| 39 |
-
#
|
| 40 |
|
| 41 |
-
|
| 42 |
-
[Try it here](https://huggingface.co/spaces/neta-art/NetaLumina_T2I_Playground)
|
| 43 |
|
| 44 |
-
##
|
| 45 |
Neta Lumina is built on the **Lumina2 Diffusion Transformer (DiT)** framework, please follow these steps precisely.
|
| 46 |
|
| 47 |
-
###
|
| 48 |
|
| 49 |
Currently Neta Lumina runs only on ComfyUI:
|
| 50 |
- Latest ComfyUI installation
|
| 51 |
- ≥ 8 GB VRAM
|
| 52 |
|
| 53 |
-
###
|
| 54 |
|
| 55 |
**Original (component) release**
|
| 56 |
|
|
@@ -82,52 +83,59 @@ you may use ComfyUI’s simple checkpoint loader workflow.
|
|
| 82 |
- **Steps**: 30
|
| 83 |
- **CFG (guidance)**: 4 – 5.5
|
| 84 |
- **EmptySD3LatentImage resolution**: 1024 × 1024, 768 × 1532, or 968 × 1322
|
|
|
|
| 85 |
|
| 86 |
-
#
|
| 87 |
|
| 88 |
Detailed prompt guidelines: [**Neta Lumina Prompt Book**](https://nieta-art.feishu.cn/wiki/RVBgwvzBqiCvQ7kOMm1cM6NdnNc)
|
|
|
|
| 89 |
|
| 90 |
-
#
|
| 91 |
|
| 92 |
- Discord: https://discord.com/invite/TTTGccjbEa
|
| 93 |
- QQ group: 785779037
|
|
|
|
| 94 |
|
| 95 |
-
#
|
| 96 |
|
| 97 |
-
##
|
| 98 |
|
| 99 |
- Continous base‑model training to raise reasoning capability.
|
| 100 |
- Aesthetic‑dataset iteration to improve anatomy, background richness, and overall appealness.
|
| 101 |
- Smarter, more versatile tagging tools to lower the creative barrier.
|
| 102 |
|
| 103 |
-
##
|
| 104 |
|
| 105 |
- LoRA training tutorials and components
|
| 106 |
- Experienced users may already fine‑tune via Lumina‑Image‑2.0’s open code.
|
| 107 |
- Development of advanced control / style‑consistency features (e.g., [Omini Control](https://arxiv.org/pdf/2411.15098)). [**Call for Collaboration!**](https://discord.com/invite/TTTGccjbEa)
|
|
|
|
| 108 |
|
| 109 |
-
#
|
| 110 |
|
| 111 |
- Neta Lumina is released under the [**Fair AI Public License 1.0‑SD**](https://freedevproject.org/faipl-1.0-sd/)
|
| 112 |
- Any modifications, merges, or derivative models must themselves be open‑sourced.
|
|
|
|
| 113 |
|
| 114 |
-
#
|
| 115 |
|
| 116 |
- Special thanks to the **Alpha‑VLLM** team for open‑sourcing **Lumina‑Image‑2.0**
|
| 117 |
-
- Model development: **Neta.art Lab (Civitai)**
|
| 118 |
-
- Core Trainer
|
| 119 |
-
|
| 120 |
- **Partners**
|
| 121 |
- **nebulae**: [Civitai](https://civitai.com/user/kitarz) ・ [Hugging Face](https://huggingface.co/NebulaeWis)
|
| 122 |
- [**narugo1992**](https://github.com/narugo1992) & [**deepghs**](https://huggingface.co/deepghs): open datasets, processing tools, and models
|
| 123 |
- [**Naifu**](https://github.com/Mikubill/naifu) trainer at [Mikubill](https://github.com/Mikubill)
|
|
|
|
| 124 |
|
| 125 |
-
#
|
| 126 |
|
| 127 |
**Evaluators & developers**: 二小姐, spawner, Rnglg2
|
| 128 |
**Other contributors**: 沉迷摸鱼, poi氵, ashan, 十分无奈, GHOSTLXH, wenaka, iiiiii, 年糕特工队, 恩匹希, 奶冻美宣集, mumu, yizyin, smile
|
|
|
|
| 129 |
|
| 130 |
-
#
|
| 131 |
|
| 132 |
- **TeaCache**: https://github.com/spawner1145/sd-samplers.git
|
| 133 |
- **Advanced samplers & TeaCache guide (by spawner)**: https://docs.qq.com/doc/DZEFKb1ZrZVZiUmxw?nlc=1
|
|
|
|
| 5 |
license_name: fair-ai-public-license-1.0-sd
|
| 6 |
license_link: https://freedevproject.org/faipl-1.0-sd/
|
| 7 |
---
|
| 8 |
+
[中文版](https://huggingface.co/neta-art/Neta-Lumina/blob/main/README-ZH.md)
|
| 9 |
|
| 10 |

|
| 11 |
|
|
|
|
| 36 |
- First beta release candidate
|
| 37 |
- **Primary Goal**: Enhanced aesthetics, pose accuracy, and scene detail
|
| 38 |
- **Data Set**: Hundreds of thousands of handpicked high‑quality anime images (fine‑tuned on the Base)
|
| 39 |
+
<br>
|
| 40 |
|
| 41 |
+
# How to Use
|
| 42 |
|
| 43 |
+
[Try it at Hugging Face playground](https://huggingface.co/spaces/neta-art/NetaLumina_T2I_Playground)
|
|
|
|
| 44 |
|
| 45 |
+
## ComfyUI
|
| 46 |
Neta Lumina is built on the **Lumina2 Diffusion Transformer (DiT)** framework, please follow these steps precisely.
|
| 47 |
|
| 48 |
+
### Environment Requirements
|
| 49 |
|
| 50 |
Currently Neta Lumina runs only on ComfyUI:
|
| 51 |
- Latest ComfyUI installation
|
| 52 |
- ≥ 8 GB VRAM
|
| 53 |
|
| 54 |
+
### Downloads & Installation
|
| 55 |
|
| 56 |
**Original (component) release**
|
| 57 |
|
|
|
|
| 83 |
- **Steps**: 30
|
| 84 |
- **CFG (guidance)**: 4 – 5.5
|
| 85 |
- **EmptySD3LatentImage resolution**: 1024 × 1024, 768 × 1532, or 968 × 1322
|
| 86 |
+
<br>
|
| 87 |
|
| 88 |
+
# Prompt Book
|
| 89 |
|
| 90 |
Detailed prompt guidelines: [**Neta Lumina Prompt Book**](https://nieta-art.feishu.cn/wiki/RVBgwvzBqiCvQ7kOMm1cM6NdnNc)
|
| 91 |
+
<br>
|
| 92 |
|
| 93 |
+
# Community
|
| 94 |
|
| 95 |
- Discord: https://discord.com/invite/TTTGccjbEa
|
| 96 |
- QQ group: 785779037
|
| 97 |
+
<br>
|
| 98 |
|
| 99 |
+
# Roadmap
|
| 100 |
|
| 101 |
+
## Model
|
| 102 |
|
| 103 |
- Continous base‑model training to raise reasoning capability.
|
| 104 |
- Aesthetic‑dataset iteration to improve anatomy, background richness, and overall appealness.
|
| 105 |
- Smarter, more versatile tagging tools to lower the creative barrier.
|
| 106 |
|
| 107 |
+
## Ecosystem
|
| 108 |
|
| 109 |
- LoRA training tutorials and components
|
| 110 |
- Experienced users may already fine‑tune via Lumina‑Image‑2.0’s open code.
|
| 111 |
- Development of advanced control / style‑consistency features (e.g., [Omini Control](https://arxiv.org/pdf/2411.15098)). [**Call for Collaboration!**](https://discord.com/invite/TTTGccjbEa)
|
| 112 |
+
<br>
|
| 113 |
|
| 114 |
+
# License & Disclaimer
|
| 115 |
|
| 116 |
- Neta Lumina is released under the [**Fair AI Public License 1.0‑SD**](https://freedevproject.org/faipl-1.0-sd/)
|
| 117 |
- Any modifications, merges, or derivative models must themselves be open‑sourced.
|
| 118 |
+
<br>
|
| 119 |
|
| 120 |
+
# Participants & Contributors
|
| 121 |
|
| 122 |
- Special thanks to the **Alpha‑VLLM** team for open‑sourcing **Lumina‑Image‑2.0**
|
| 123 |
+
- **Model development**: **Neta.art Lab (Civitai)**
|
| 124 |
+
- Core Trainer: **li_li** [Civitai](https://civitai.com/user/li_li) ・ [Hugging Face](https://huggingface.co/heziiiii)
|
| 125 |
+
<br>
|
| 126 |
- **Partners**
|
| 127 |
- **nebulae**: [Civitai](https://civitai.com/user/kitarz) ・ [Hugging Face](https://huggingface.co/NebulaeWis)
|
| 128 |
- [**narugo1992**](https://github.com/narugo1992) & [**deepghs**](https://huggingface.co/deepghs): open datasets, processing tools, and models
|
| 129 |
- [**Naifu**](https://github.com/Mikubill/naifu) trainer at [Mikubill](https://github.com/Mikubill)
|
| 130 |
+
<br>
|
| 131 |
|
| 132 |
+
# Community Contributors
|
| 133 |
|
| 134 |
**Evaluators & developers**: 二小姐, spawner, Rnglg2
|
| 135 |
**Other contributors**: 沉迷摸鱼, poi氵, ashan, 十分无奈, GHOSTLXH, wenaka, iiiiii, 年糕特工队, 恩匹希, 奶冻美宣集, mumu, yizyin, smile
|
| 136 |
+
<br>
|
| 137 |
|
| 138 |
+
# Appendix & Resources
|
| 139 |
|
| 140 |
- **TeaCache**: https://github.com/spawner1145/sd-samplers.git
|
| 141 |
- **Advanced samplers & TeaCache guide (by spawner)**: https://docs.qq.com/doc/DZEFKb1ZrZVZiUmxw?nlc=1
|